Arizona Public Service generates reliable, affordable and clean energy for 2.7 million Arizonans. As the state’s largest and longest-serving energy provider, our more than 6,000 dedicated employees power our vision of creating a sustainable energy future for Arizona.
Summary
The Forecasting Senior Analyst/ Consultant - Energy & Revenue Forecasting develops advanced level solutions utilizing statistical (econometric) modeling techniques to a variety of complex energy, economic, and forecasting projects. Performs a variety of highly complex research and studies on topics that impact energy and revenue forecasting, such as energy demand & sales, load characteristics, customer base, and economics. Prepares highly complex reports of findings and recommendations to Management, occasionally interfacing with Senior Management and Officers. Leads strategic planning and analysis. Interacts with senior internal management and external personnel on significant matters often requiring coordination between organizations.
Minimum Requirements
Forecasting Senior Analyst - Energy & Revenue Forecasting
•Degree in economics, statistics, finance, mathematics, or a related field; or an equivalent combination of education and experience from which comparable knowledge, skills and abilities have been achieved.
•Minimum five (5) years directly related data management/analytics experience in economics, statistics, finance, mathematics in any industry.
•Comprehensive knowledge and use of econometrics, economic analysis, regression analysis, statistics, and financial principles.
•Strong knowledge of at least one of the following coding languages: SAS, R, Python, or Stata.
•Advanced experience with data management and developing research.
•Effective written and verbal executive communication skills.
•Advanced knowledge of Microsoft applications (Excel, PowerPoint, SharePoint, etc.) and database tools.
Forecasting Consultant - Energy & Revenue Forecasting
•Degree in economics, statistics, finance, mathematics, or a related field; or an equivalent combination of education and experience from which comparable knowledge, skills and abilities have been achieved.
•Minimum seven (7) years directly related experience in economics, statistics, finance, mathematics in any industry.
•Expert knowledge and use of econometrics, economic analysis, regression analysis, statistics, and financial principles.
•Advanced knowledge of at least one of the following coding languages: SAS, R, Python, or Stata.
•Advanced experience with data management and developing research.
•Advanced written and verbal executive communication skills.
•Advanced knowledge of Microsoft applications (Excel, PowerPoint, SharePoint, etc.) and database tools.
Preferred Skills, Knowledge and Qualifications:
•Ph.D in Economics or Statistics, or Masters degree in Economics, Statistics, Mathematics, or Finance preferred.
•Directly related forecasting experience in the utility or energy services industry.